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Ascendion

<div><div><div><h3 class="jobSectionHeader"><b>About Ascendion
</b></h3><p>Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by more than 11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what&rsquo;s next.
<br>
<br>
Learn more at https://ascendion.com/ .
</p><p><b>Ascendion | Engineering to elevate life
</b></p><p>We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
</p><ul><li>Build the coolest tech for the world&rsquo;s leading brands
</li><li>Solve complex problems &ndash; and learn new skills
</li><li>Experience the power of transforming digital engineering for Fortune 500 clients
</li><li>Master your craft with leading training programs and hands-on experience
</li></ul><p>Experience a community of change makers!
</p><p>Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.<br>
</p></div><div><br>
<div><h4 class="jobSectionHeader"><b>About the Role
</b></h4><ul><li><b>Job Title: </b>Data Scientist
</li><li><b>Location: </b>Redmond, WA, 98052
</li><li><b>Summary: </b>This is a Marketing Data Science role. Marketing analytics experience required.
</li></ul><h2 class="jobSectionHeader"><b>Job Responsibilities
</b></h2><ul><li>Work with senior management, technical and client teams to determine data requirements, business data implementation approaches, and best practices for advanced data manipulation.
</li><li>Write and code logical and physical database descriptions and specify identifiers of the database.
</li><li>Design, implement, automate, and maintain large-scale enterprise data ETL processes.
</li><li>Modify existing databases and database management systems, test programs or databases, correct errors, and make necessary modifications.
</li></ul><h4 class="jobSectionHeader"><b>Minimum Qualifications
</b></h4><ul><li>Bachelor's degree in a technical field such as computer science, computer engineering, or related field required.
</li><li>8-10 years of applicable experience required.
</li><li>Experience with database technologies, knowledge of the ETL process, and at least one scripting language.
</li><li>Strong written and oral communication skills, troubleshooting, problem-solving skills, and a demonstrated history of success.
</li></ul><h4 class="jobSectionHeader"><b>Desired Qualifications
</b></h4><ul><li>Desire to work with data and help businesses make better data-driven decisions.
 </li></ul><h2 class="jobSectionHeader"><b>Explain a typical day in the role
</b></h2><ul><li>Partner with Marketing, business, and finance teams to understand and analyze digital marketing campaigns, create measurement plans, and drive post-mortem analyses. Build segmentation and KPI foundations for performance marketing. Collaborate with analytics engineers on building automations and reporting.
</li></ul><h2 class="jobSectionHeader"><b>What is the ideal background of a candidate for this role?
</b></h2><ul><li>We are ideally looking for a professional with direct marketing experience in digital products, preferably in gaming.
</li></ul><h2 class="jobSectionHeader"><b>Top 3 Must-Have HARD Skills &amp; years of experience for each
</b></h2><ul><li>Marketing analytics
</li><li>SQL/Python
</li><li>Databricks is strongly preferred for candidates to have but not required
</li></ul></div></div><p><b>Salary and Other Compensation: </b>The annual [salary] for this position is between [$1,45,600 &ndash; $1,66,400 annually] .Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
</p><p><b>Benefits: </b>The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long term disability insurance [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
</p><h2 class="jobSectionHeader"><b>Want to change the world? Let us know.
</b></h2><p>Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!</p></div></div><div></div>
<br><div><div><h4 class="jobSectionHeader"><b>Preferred Skills
</b></h4><div><div>Data Science
<ul><li><div>SQL
</div></li><li><div>Python
</div></li><li><div>ETL Data Science
</div></li><li><div>ETL
</div></li><li><div>Databricks
</div></li><li><div>Marketing analytics
</div></li><li><div>Marketing
</div></li></ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job details
</b></h4><div><div><h6 class="jobSectionHeader"><b>Job ID
</b></h6><p>332077
</p></div><div><h6 class="jobSectionHeader"><b>Job Requirements
</b></h6><p>Data Scientist
</p></div><div><h6 class="jobSectionHeader"><b>Location
</b></h6><p>Redmond, Washington, US
</p></div><div><h6 class="jobSectionHeader"><b>Recruiter
</b></h6><p>Vidisha
</p></div><div><h6 class="jobSectionHeader"><b>Email
</b></h6><p>vidisha.patil@ascendion.com
</p></div></div></div><div><h4 class="jobSectionHeader"><b>About Ascendion
</b></h4><div><h6 class="jobSectionHeader"><b>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
</b></h6><p>Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.</p></div></div></div>

Data Scientist

Agility Partners

<div>
 <p>
  Agility Partners is seeking a qualified Data Scientist to fill an open position with a Fortune 15 company based in the greater Seattle area. This role will support a leading gaming organization by delivering advanced analytics and monetization insights that improve player experiences, optimize digital revenue streams, and drive strategic business decisions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
  Build and deploy advanced analytics models to optimize monetization across subscriptions, digital content sales, and creator-driven marketplaces
 </p>
 <p>
  Design, execute, and analyze A/B tests related to pricing, user experience, recommendations, and discovery strategies
 </p>
 <p>
  Develop LTV models, attribution frameworks, and causal inference analyses to measure business impact and player behavior
 </p>
 <p>
  Partner with Product, Finance, and Marketing stakeholders to present insights, influence strategy, and drive data-informed decision making
 </p>
 <p>
  <br/>
 </p>
 <p>
  Qualifications:
 </p>
 <p>
  4+ years of experience with Python and Databricks for analytics, modeling, and large-scale data processing
 </p>
 <p>
  5+ years of experience presenting insights and communicating effectively with technical and business stakeholders
 </p>
 <p>
  4+ years of experience with attribution modeling, experimentation, and causal inference methods
 </p>
 <p>
  Bachelor&rsquo;s degree in Computer Science, Statistics, Economics, Mathematics, or related technical field
 </p>
 <p>
  Strong SQL and data visualization skills with experience translating data into actionable business recommendations
 </p>
 <p>
  Experience in digital monetization, subscription products, gaming, or consumer technology environments preferred
 </p>
 <p>
  Strong problem-solving skills with the ability to balance revenue growth objectives with customer experience considerations
 </p>
</div>


<div>
 About Ascendion
 <p>
  Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by more than 11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what&rsquo;s next.
  <br/>
  <br/>
  Learn more at &nbsp;https://ascendion.com/.
 </p>
 <p>
  <strong>
   Ascendion | Engineering to elevate life
  </strong>
 </p>
 <p>
  We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
 </p>
 <ul>
  <li>
   Build the coolest tech for the world&rsquo;s leading brands
  </li>
  <li>
   Solve complex problems - and learn new skills
  </li>
  <li>
   Experience the power of transforming digital engineering for Fortune 500 clients
  </li>
  <li>
   Master your craft with leading training programs and hands-on experience
  </li>
 </ul>
 <p>
  Experience a community of change makers!
 </p>
 <p>
  Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
  <br/>
 </p>
 About the Role
 <ul>
  <li>
   <strong>
    Job Title:
   </strong>
   Data Scientist
  </li>
  <li>
   <strong>
    Location:
   </strong>
   &nbsp;Redmond, WA,&nbsp;98052
  </li>
  <li>
   <strong>
    Summary:
   </strong>
   This is a Marketing Data Science role. Marketing analytics experience required.
  </li>
 </ul>
 <strong>
  Job Responsibilities
 </strong>
 <ul>
  <li>
   Work with senior management, technical and client teams to determine data requirements, business data implementation approaches, and best practices for advanced data manipulation.
  </li>
  <li>
   Write and code logical and physical database descriptions and specify identifiers of the database.
  </li>
  <li>
   Design, implement, automate, and maintain large-scale enterprise data ETL processes.
  </li>
  <li>
   Modify existing databases and database management systems, test programs or databases, correct errors, and make necessary modifications.
  </li>
 </ul>
 &nbsp;Minimum Qualifications
 <ul>
  <li>
   Bachelor's degree in a technical field such as computer science, computer engineering, or related field required.
  </li>
  <li>
   8-10 years of applicable experience required.
  </li>
  <li>
   Experience with database technologies, knowledge of the ETL process, and at least one scripting language.
  </li>
  <li>
   Strong written and oral communication skills, troubleshooting, problem-solving skills, and a demonstrated history of success.
  </li>
 </ul>
 &nbsp;Desired Qualifications
 <ul>
  <li>
   Desire to work with data and help businesses make better data-driven decisions.
  </li>
 </ul>
 &nbsp;
 <strong>
  Explain a typical day in the role
 </strong>
 &nbsp;
 <ul>
  <li>
   Partner with Marketing, business, and finance teams to understand and analyze digital marketing campaigns, create measurement plans, and drive post-mortem analyses. Build segmentation and KPI foundations for performance marketing. Collaborate with analytics engineers on building automations and reporting.
  </li>
 </ul>
 <strong>
  What is the ideal background of a candidate for this role?
 </strong>
 <ul>
  <li>
   We are ideally looking for a professional with direct marketing experience in digital products, preferably in gaming.
  </li>
 </ul>
 <strong>
  Top 3 Must-Have HARD Skills &amp; years of experience for each
 </strong>
 <ul>
  <li>
   Marketing analytics
  </li>
  <li>
   SQL/Python
  </li>
  <li>
   Databricks is strongly preferred for candidates to have but not required
  </li>
 </ul>
 <p>
  <strong>
   Salary and Other Compensation:
  </strong>
  The annual [salary] for this position is between [$1,45,600 - $1,66,400 annually] .Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
 </p>
 <p>
  <span>
   <strong>
    Benefits:
   </strong>
   The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long term disability insurance [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
  </span>
 </p>
 Want to change the world? Let us know.
 <p>
  Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!
 </p>
</div>


BCforward

<div>
 <p>
  <strong>
   <em>
    BCForward is currently seeking a highly motivated for a
   </em>
   CE Facility Support Engineer
   <em>
    opportunity in Goodyear, AZ with our client.
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Title: Marketing Data Scientist
  </strong>
 </p>
 <p>
  <strong>
   Location: Redmond, WA (Hybrid, 3 days onsite)
  </strong>
 </p>
 <p>
  <strong>
   Duration: 18 months
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   About BCforward
  </strong>
 </p>
 <p>
  <strong>
   BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <strong>
   We are seeking a Marketing Data Scientist to join our dynamic team. The ideal candidate will have strong experience in marketing analytics, attribution modeling, experimentation, and stakeholder engagement, and a proven ability to translate complex results into clear, actionable recommendations that drive budget decisions and marketing effectiveness.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Top 3 must have skills:
  </strong>
 </p>
 <p>
  <strong>
   1.Marketing analytics
  </strong>
 </p>
 <p>
  <strong>
   2. SQL/Python
  </strong>
 </p>
 <p>
  <strong>
   Databricks is strongly preferred for candidates to have but not required
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Measure drivers of player acquisition, reactivation, and long-term value across marketing channels.
   </strong>
  </li>
  <li>
   <strong>
    Own campaign post-mortems, attribution modeling, and funnel analysis to connect spend and impressions to engagement and monetization outcomes.
   </strong>
  </li>
  <li>
   <strong>
    Partner with Growth Marketing and Finance to inform budget allocation and build scalable measurement frameworks.
   </strong>
  </li>
  <li>
   <strong>
    Engage stakeholders through presentations, training, and insight-driven discussions to influence decisions.
   </strong>
  </li>
  <li>
   <strong>
    Determine data requirements and implement best practices for data manipulation, storage, and analysis strategies.
   </strong>
  </li>
  <li>
   <strong>
    Design, implement, automate, and maintain large-scale enterprise ETL processes supporting marketing analytics.
   </strong>
  </li>
  <li>
   <strong>
    Modify databases and data pipelines, and direct technical teams to implement changes as needed.
   </strong>
  </li>
  <li>
   <strong>
    Test programs and databases, resolve errors, and deliver stable data outputs for stakeholders.
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Required Skills &amp; Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Bachelor's degree in computer science, computer engineering, or a related technical field.
   </strong>
  </li>
  <li>
   <strong>
    8&ndash;10 years of applicable experience in data science, data engineering, or analytics roles.
   </strong>
  </li>
  <li>
   <strong>
    Proficiency with database technologies and SQL for large-scale data analysis.
   </strong>
  </li>
  <li>
   <strong>
    Hands-on experience with ETL design and orchestration in production environments.
   </strong>
  </li>
  <li>
   <strong>
    Knowledge of at least one scripting language such as Python or Scala for data processing and modeling.
   </strong>
  </li>
  <li>
   <strong>
    Marketing analytics experience, including attribution, experimentation, and funnel measurement.
   </strong>
  </li>
  <li>
   <strong>
    Strong written and oral communication skills with demonstrated stakeholder engagement.
   </strong>
  </li>
  <li>
   <strong>
    Troubleshooting and problem-solving skills with a record of delivering insights that drive decisions.
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Candidate Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Disqualifiers: Candidates who are not comfortable engaging with stakeholders regularly (e.g., presenting insights, driving conversations, or training partners on data outputs) would not be a fit for this role. It is non-negotiable to be onsite for those 3 days, candidates who cannot commit to that will not be eligible.
   </strong>
  </li>
  <li>
   <strong>
    Best vs. Average: The ideal resume would contain heavy stakeholder experience with presenting insights and influencing stakeholder decisions and driving those conversations. Databricks exposure/experience
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Experience with Databricks for data engineering, analytics, and experimentation workflows.
   </strong>
  </li>
  <li>
   <strong>
    Experience partnering with cross-functional teams in product, finance, and marketing.
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About BC
   </u>
   <em>
    <u>
     forward
    </u>
   </em>
   <u>
    :
   </u>
  </strong>
 </p>
 <p>
  Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BC
  <em>
   forward
  </em>
  is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BC
  <em>
   forward&rsquo;s
  </em>
  6,000 consultants support more than 225 clients globally.
 </p>
 <p>
  BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BC
  <em>
   forward
  </em>
  to become a market leader and best in class place to work.
 </p>
 <p>
  BC
  <em>
   forward
  </em>
  is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
 </p>
 <p>
  To learn more about how BC
  <em>
   forward
  </em>
  collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BC
  <em>
   forward
  </em>
  will only use this information to complete the recruitment process.
 </p>
 <p>
  This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at will regardless of the anticipated assignment duration.
 </p>
 <p>
 </p>
</div>


Marketing Data Scientist

Microsoft

<div><b>Overview</b><div><p><br>
Join an innovative team that delivers core Copilot Shared Services for our flagship Office Apps such as Word, Excel, and PowerPoint. Our mission is to deliver the next generation of personalized Copilot experiences leveraging best of breed Microsoft technologies across Copilot Platform, Microsoft Substrate, and beyond. Consider this opportunity to advance our approach in ways that benefits millions of people. We will achieve this through innovation and vision for our next-gen solutions, connecting key partnerships across Microsoft, and influencing best-of-breed advancements leveraging AI technology.</p><p>
Within Copilot Shared Services, we apply a data-driven approach to innovation, led by experimentation, and leveraging new foundational LLMs, advanced ML techniques, rich algorithms, and AI technologies. The skills of Data Science will help us to accelerate developmental advancements and improve quality of our customer experiences. We invest in agentic solutions and are working to advance methods of evaluation and automated customer solutions. We are looking for a Data Scientist 2 to join our team to help shape the future of how Office users interact with Copilot and AI. You will leverage your understanding of data science and business to examine projects and consider factors that can influence final outcomes within technical areas.</p><p>
In this role as a <b>Data Scientist II</b>, you&rsquo;ll work closely with engineers, program managers, data scientists and applied scientists to improve our approach to experimentation, and advance personalized experiences, the use of foundational models, advancement of evaluation techniques, and improve overall efficiency.
</p><p>Responsibilities will include leading with a data first mindset, advancing experimentation, evaluations and datasets, evolution of advanced prompt engineering, selection and fine-tuning of models, develop concepts for more efficient and accurate solutions, and research and assess different architectures and approaches from across the M365 ecosystem. You will connect with leaders and subject matter experts across the company and play a key role in building reliable, measurable systems that bridge cutting-edge AI with their expression across M365 Copilot user experiences.</p><p>
If you're excited about advancing applied AI and making a difference in the future of Copilot, we&rsquo;d love to hear from you.</p><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p></div><b><br>
Responsibilities</b><br>
<div><ul><li>
Define, lead, and implement advanced, repeatable data-driven pipelines and techniques with an emphasis on evaluation for the next generation of model generated suggested user actions.</li><li>
Conduct research projects and workstreams that directly benefit our customers, drive positive usage, and improve Microsoft&rsquo;s core productivity products.</li><li>
Evolve our approach of our prompt engineering, model selection, design and manage evaluation datasets, develop concepts for more efficient and accurate solutions, and researching and assessing different architectures and approaches from across the M365 ecosystem.
</li><li>Collaborate and coordinate with people in a range of roles, including researchers, engineers, product managers, designers, and product leaders and other key product stakeholders.</li><li>
Generate AI solutions that can be shipped to customers to improve their experience and used internally to generate data insights to shape the features and products we ship to customers.</li><li>
Teach, guide, and tutor colleagues without research backgrounds in state-of-the-art techniques and research best practices.</li><li>
Many of the things you will try should lead to unexpected outcomes. You must be comfortable learning from experience, developing new hypotheses, and iterating.</li><li>
Sharing project outcomes and insights with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven.</li></ul></div><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li></ul><p><b>
Other Requirements:</b></p><p>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p><b>
Preferred Qualifications:</b></p><div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li></ul></div><br>
<br>
<br>
<p>Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Data Scientist 2 for Office Copilot Services

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Data Analyst
 </strong>
 in the Analytics &amp; Applications team, your work will focus on helping the Small and Medium Business organization achieve its long-term business and customer growth objectives through the creation of data analytics, insights, and reports.
 <br/>
 <br/>
 You will act as a strategic partner responsible for delivering data models, insights, and analytics that impact the ability to understand our SMB ecosystem and enable the business to react quickly and drive business growth. You will develop your career, forge effective cross-functional relationships, take on progressively broader responsibilities, and establish yourself as a trusted strategic advisor. You can expect to have sponsorship for your work, support for your professional development, and encouragement to bring your authentic self to work.
 <br/>
 <br/>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will conduct exploratory data analysis, create data models, and develop actionable insights to enable and support decision-making for business leaders across Operations, Marketing, Finance, and Engineering.
  </li>
  <li>
   You will leverage AI-enabled tools and automation to accelerate analysis, improve data quality, and deliver scalable self-serve insights while adhering to security and privacy requirements.
  </li>
  <li>
   You will identify and leverage appropriate sources of data and contribute to the development of recommendations.
  </li>
  <li>
   You&rsquo;ll determine appropriate analytical techniques and critically evaluate assumptions.
  </li>
  <li>
   You will share and simplify relevant findings and insights and ensure presented results are accessible and accurate.
  </li>
  <li>
   You&rsquo;ll support and/or consult with other teams and identify relevant data-driven recommendations.
  </li>
  <li>
   You will recommend efficiency improvements for core work and evaluate the viability of automated data collection methods.
  </li>
  <li>
   You will understand linkages between analytical models and contribute to the review process&mdash;and, if the model is deemed deficient&mdash;seek to determine why.
  </li>
  <li>
   You&rsquo;ll work within and across teams to ensure alignment in data sources and processes and engage stakeholders to act on opportunities.
  </li>
  <li>
   Embody our culture and values.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required :
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years&rsquo; experience in data analysis, modelling, and visualization tools (e.g., experience with SQL and Power BI)
  </li>
  <li>
   Strong understanding of data visualization best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  #MicrosoftAdvertising
  <br/>
  <br/>
 </strong>
 Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year.
 <br/>
 <br/>
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 <br/>
 <br/>
 https://careers.microsoft.com/us/en/us-corporate-pay
 <br/>
 <br/>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Data Analyst

Fractal

<div>
 <p>
  <strong>
   AI and Data Platform Engineer
  </strong>
 </p>
 <p>
  Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work&reg; Institute and recognized as a &lsquo;Cool Vendor&rsquo; and a &lsquo;Vendor to Watch&rsquo; by Gartner.
 </p>
 <p>
  Please visit
  <strong>
   Fractal | Intelligence for Imagination
  </strong>
  for more information about Fractal.
 </p>
 <p>
 </p>
 <p>
  We are looking for a strong AI Engineer who thrives at the intersection of AI assisted development, data platform engineering, and high velocity delivery.
 </p>
 <p>
  This role focuses on delivering high‑quality, scalable, and governed data assets through spec‑driven development, AI‑enabled engineering workflows, and standardized data patterns. You will work closely with platform, DevOps, SRE, and analytics consumers to enable self‑service analytics while reducing operational toil through automation and reuse.
 </p>
 <p>
  This is a hands‑on engineering role for someone who enjoys modern data engineering, high engineering rigor, and rapid, AI‑accelerated delivery. You may need to work with PST overlapping hours.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities:
   </u>
  </strong>
 </p>
 <p>
  <strong>
   Spec‑Driven &amp; AI‑Accelerated Data Engineering
  </strong>
 </p>
 <ul>
  <li>
   Deliver high‑quality data ingestion, transformation, and modeling solutions using Fabric and associated Azure services through spec‑driven development.
  </li>
  <li>
   Apply AI‑enabled development workflows using tools such as GitHub Copilot and LLM‑assisted coding to maximize development velocity without compromising quality.
  </li>
  <li>
   Translate business and analytics requirements into clear technical specifications, schemas, transformations, and acceptance criteria.
  </li>
  <li>
   Participate actively in automated reviews, AI‑assisted refactoring, and iterative improvements.
  </li>
 </ul>
 <p>
  <strong>
   Data Pipelines &amp; Modeling
  </strong>
 </p>
 <ul>
  <li>
   Build modular, reusable, and testable pipeline components aligned with standardized data patterns.
  </li>
  <li>
   Design and implement ingestion and transformation pipelines using Fabric‑native constructs (Lakehouse, Warehouse, Notebooks, Dataflows Gen2).
  </li>
  <li>
   Optimize transformations for scale, performance, and cost efficiency.
  </li>
  <li>
   Ensure pipelines are dependency‑aware, well‑orchestrated, and production‑ready.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Self‑Service Analytics Enablement
  </strong>
 </p>
 <ul>
  <li>
   Produce consumer‑ready, tested, and governed datasets to enable self‑service analytics for business and analytics users.
  </li>
  <li>
   Apply strong data modeling practices (relational, dimensional, and analytical models) to support reporting and insights.
  </li>
  <li>
   Ensure data quality through validation checks, reconciliations, and automated testing.
  </li>
  <li>
   Platform Collaboration &amp; Production Readiness
  </li>
  <li>
   Collaborate closely with DevOps, SRE, and QA engineers to ensure production readiness and operational reliability.
  </li>
  <li>
   Follow consistent CI/CD, testing, and release practices across environments.
  </li>
  <li>
   Support investigation and resolution of data issues by improving pipeline robustness and observability.
  </li>
 </ul>
 <p>
  <strong>
   Engineering Excellence &amp; Automation
  </strong>
 </p>
 <ul>
  <li>
   Participate in code and design reviews, upholding engineering standards for quality, performance, and maintainability.
  </li>
  <li>
   Build reusable data assets and automated workflows to reduce manual data support and operational effort.
  </li>
  <li>
   Continuously improve reliability, reusability, and maintainability of data solutions.
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Qualifications &amp; Experience
   </u>
   : Core Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or related field
  </li>
  <li>
   4+ years of professional software, data, or AI engineering experience
  </li>
  <li>
   Strong hands-on experience with:
  </li>
  <li>
   SQL (advanced querying and optimization)
  </li>
  <li>
   Data modeling (relational, dimensional, and analytical models)
  </li>
  <li>
   Distributed data processing concepts
  </li>
  <li>
   AI Engineering &amp; Development Velocity
  </li>
  <li>
   Demonstrated experience using AI assisted development / vibe coding to accelerate delivery
  </li>
  <li>
   Comfort working from detailed specifications rather than exploratory coding alone
  </li>
  <li>
   Strong engineering discipline: clean code, modular design, automated testing
  </li>
  <li>
   Fabric &amp; Azure (Required / Strongly Preferred)
  </li>
 </ul>
 <p>
  <strong>
   Experience with strong exposure to:
  </strong>
 </p>
 <ul>
  <li>
   Lakehouse, Warehouse, Notebooks, Dataflows Gen2
  </li>
  <li>
   OneLake concepts
  </li>
 </ul>
 <p>
  <strong>
   Prior experience with:
  </strong>
 </p>
 <ul>
  <li>
   Databricks (Spark, notebooks, pipelines)
  </li>
  <li>
   Azure services such as ADLS, Azure SQL, Synapse
  </li>
  <li>
   Ability to translate Databricks patterns into Fabric native implementations
  </li>
 </ul>
 <p>
  <strong>
   <u>
    Personal Attributes
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Forward thinking, self-starter mindset
  </li>
  <li>
   Strong problem solving and systems thinking skills
  </li>
  <li>
   Comfortable operating in ambiguity with clear specifications as the stabilizing force
  </li>
  <li>
   Passion for building end to end, production grade AI and data platforms
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay
  </strong>
 </p>
 <p>
  The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $110,000 - $120,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a &ldquo;free time&rdquo; PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
  </em>
 </p>
 <p>
 </p>
</div>


AI Data Platform Engineer

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